Top Engineering Jobs in Hyderabad

Design, build, test, and deploy smart contracts and decentralized applications. Maintain blockchain integrations and backend services, optimize for security and gas efficiency, contribute to architecture and technical strategy, conduct code reviews, mentor junior engineers, and collaborate with product, frontend, and security teams.

Lead design, development, and deployment of production-grade AI solutions focused on generative AI and NLP for healthcare. Own model lifecycle, build LLM/RAG workflows, work with clinical and operational data, ensure RAI/compliance, and mentor data science teams while partnering with product, engineering, clinical, and compliance stakeholders.

Design, build, and maintain AI infrastructure: architect Terraform and Crossplane modules, create GitOps with FluxCD, engineer Azure DevOps pipelines, operate and troubleshoot AKS (networking, scaling, identity), implement workload identity, define observability, perform technical reviews, and mentor junior engineers.

Develop and automate AI/ML-based test methodologies for graphics, display, multimedia, and audio on AMD SoCs. Create and maintain test automation scripts and frameworks (Python, Perl, shell, C#) on Windows. Troubleshoot, debug kernel/driver-level issues, interact with databases, and support QA/CI workflows. Contribute to model training and integration using ML frameworks and computer vision/LLM techniques.

Design, build, test, and support integrations using Oracle Integration Cloud (OIC) between SaaS/PaaS systems (Oracle Cloud ERP/HCM). Develop integrations using adapters (File, Database, Oracle ERP, FTP), web services (XML, SOAP, WSDL, XSD), and Oracle ATP. Build custom pages/apps with Oracle VBCS, deploy to Fusion with RBAC, troubleshoot/configure issues, and participate across the SDLC including documentation and QA.

Provide administration, implementation, and operational support for enterprise Identity and Access Management (CIAM) platforms. Ensure platform availability, incident management, logging/auditing, automation, monitoring, and 24x7 SLA-driven support. Collaborate with offshore/onshore teams, participate in disaster recovery and certificate renewals, and guide improvements across IAM components and integrations.

Develop, test, deploy, and support Python backend microservices and REST/GraphQL APIs on AWS. Improve CI/CD, automated testing, security checks, and production reliability. Use AI-assisted tools for development, contribute to documentation, troubleshooting, and cross-functional delivery within Agile teams.

Build and automate infrastructure, CI/CD, and developer tools across multi-cloud (GCP and AWS). Implement containerization (Kubernetes, Docker/DIND), Terraform automation, logging/monitoring, IAM, and support teams debugging DevOps issues for scalable, secure microservices.

This role involves preparing proposals, understanding client requirements, assisting in technical solution design, and supporting sales teams in AI/Data projects.

Own and deliver end-to-end features across React frontends and Java backends; design scalable, low-latency real-time systems (WebSocket, pub/sub) for large events; build high-performance interactive frontends with video/streaming; ensure production reliability, testing, and CI/CD; write architecture docs and collaborate with product and design.

The Senior Data Platform Engineer will implement and maintain data platform infrastructure, optimize Databricks environments, and provide technical guidance to data engineering teams.

As a Database Engineer, you will build and optimize ETL/ELT pipelines using Azure tools, ensure data governance, and collaborate across teams.

As a Platform Engineer, you will enhance our engineering platform by developing tools for developer experience, CI/CD automation, and working closely with various teams to improve delivery processes.

Provide L1-L3 support and implement system enhancements; perform large-scale data migrations (millions of records); build custom Python and Salesforce/Apex solutions; integrate via APIs; maintain technical documentation, recurring issue resolution, stakeholder communication, and log work hours in JIRA. Night-shift rotations as needed.

Build and maintain scalable backend services using Python and Django. Develop RESTful APIs, optimize database queries (MongoDB/Postgres), improve performance, fix legacy bottlenecks, implement security and deployment considerations, and collaborate with cross-functional teams to deliver reliable production features.

Lead design and development of core SaaS product components on AWS, build and optimize AI-powered features using LLMs, RAG and agentic workflows, collaborate across teams to deliver roadmap value, partner with business teams, and champion engineering best practices and company values.

Build and ship technical solutions that accelerate experimentation and automation for growth and marketing. Create end-to-end workflows (content, sales intel, competitive tracking), reduce decision latency, instrument tracking, prototype rapidly, and embed learning loops. Automate content and intelligence to scale programs and increase experiment success rates.

Lead day-to-day shop floor manufacturing and assembly operations, plan production, define and document process flows, coordinate in-house and vendor production, resolve manufacturing issues through root-cause analysis, and supervise the Planning Engineering team to ensure timely, quality, and cost-effective production.

Design and develop mechanical systems across NPD: concept, CAD, FEA, prototyping, testing, DFM, manufacturing and production scale-up. Collaborate with SCM, manufacturing and vendors and mentor/guide a team to deliver robotic hardware to production quality.

Design and develop electronics and firmware for industrial humanoid robots: system-level decisions, schematic capture, PCB design, component selection, control algorithm development, embedded C firmware, testing, and production scale-up.

Design and implement end-to-end AI/ML systems for robotic perception and control: research and build CV modules, train and benchmark models, prototype in simulation, transfer to real robots, create preprocessing/postprocessing pipelines in Python/C/C++, and optimize for real-time edge deployment.

Perform manual and automated localization testing for software, documentation and hardware. Report and track issues, analyze internationalization problems, collaborate with global QA, engineering, translators and PMs, and help design test plans and automation to ensure high-quality localized products.

Design, build, and maintain backend APIs and services for a real-time supply chain visibility platform. Own system architecture, real-time event ingestion, data normalization, ML integration, monitoring, and production debugging while collaborating with Product and Data Science to deliver scalable, high-availability features.

Register on JobDials recruitment portal for a reputed client, submit CV/resume, and call for instant support between 11 A.M. and 2 P.M. Contact provided for follow-up and registration instructions.

This posting asks candidates to register on JobDials.com via the provided link and then call the listed contact between 11:00 AM and 2:00 PM for instant support. It is a recruiter/registration notice for a client; no engineering duties, qualifications, or salary information are provided.